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inspect_market_context

inspect_market_context
Read-onlyIdempotent

Summarize regime, coverage, and scope before proposing experiments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo
endDateNo
startDateNo
timeframeNo
caseStudyIdNoOptional: bind this call to one of your case studies. Defaults to the bound run's case study.
researchRunIdNoOptional: bind this call to one of your existing research runs. Defaults to this session's most recent unfinished run.
mcpIdempotencyKeyNoUnique key for this logical action. Reuse it only when retrying the same arguments. Required for hosted trust-creating actions when no idempotency header is supplied.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description's 'Summarize' is consistent with those annotations and adds a small amount of behavior (it produces a summary). It does not disclose return format, fields, or any edge behavior, but given the annotations cover the safety profile, this is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded imperative sentence with no filler; it is efficient and easy to scan. It is slightly too sparse for a 7-parameter tool, but for what it sets out to convey, it is structurally concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 7 optional parameters and no output schema, yet the description does not explain what 'regime/coverage/scope' mean, what inputs select them, or what the returned summary contains. An agent would struggle to know what arguments to pass and what to expect back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only 43% of schema parameters have descriptions, and the description itself does not explicitly explain symbol, startDate, endDate, or timeframe. The words 'regime', 'coverage', and 'scope' loosely allude to the dimensions but provide no concrete parameter guidance. With low schema coverage, the description should compensate, and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Summarize') and a clear resource ('market context' broken into regime, coverage, scope). It does not explicitly differentiate this from the large set of analyze_* sibling tools, but the phrase 'before proposing experiments' adds meaningful orientation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool: 'before proposing experiments'. It does not mention alternatives or when not to use it, so it is slightly shy of a perfect score, but the workflow context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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